Microsoft AI Engineer

Madison-Davis

  • New York, NY
  • 15 days ago
  • $85

Highlights

Rather than focusing on day-to-day administration, this role centers on designing enterprise solutions, enabling responsible AI adoption, and ensuring Microsoft AI services are secure, scalable, and aligned with business objectives. Our client is seeking a senior Microsoft AI Engineer to lead the architecture, governance, and operational strategy for an enterprise Microsoft AI ecosystem.

Numbers & Facts

LocationNew York, NY
Salary$85

Description


Our client is seeking a senior Microsoft AI Engineer to lead the architecture, governance, and operational strategy for an enterprise Microsoft AI ecosystem. This individual will work closely with technology and business leaders to establish scalable standards, governance frameworks, and operating models supporting rapid AI adoption across the organization.

Rather than focusing on day-to-day administration, this role centers on designing enterprise solutions, enabling responsible AI adoption, and ensuring Microsoft AI services are secure, scalable, and aligned with business objectives.

RESPONSIBILITIES
  • Design enterprise Microsoft AI architecture and governance strategies
  • Develop operational models supporting Microsoft AI adoption
  • Establish governance for Microsoft 365 Copilot, Copilot Studio, and Power Platform
  • Build reporting frameworks for AI utilization, licensing, and capacity management
  • Define enterprise standards for Microsoft Purview and compliance
  • Partner with business stakeholders to enable responsible AI adoption
  • Lead architecture discussions across technical and business teams
  • Recommend improvements to Microsoft collaboration and AI platforms

QUALIFICATIONS
  • Extensive Microsoft 365 architecture experience
  • Expertise with Microsoft Copilot and Copilot Studio
  • Strong Power Platform architecture experience
  • Microsoft Purview governance experience
  • Microsoft Graph and PowerShell knowledge
  • Enterprise architecture experience
  • Strong executive communication skills
  • Experience leading governance initiatives
  • Ability to translate business requirements into enterprise technical solutions

PREFERRED EXPERIENCE
  • Financial Services experience
  • Microsoft certifications
  • Enterprise AI governance experience
  • Large-scale Microsoft cloud environments
  • Power BI and Dataverse expertise

How We Work:
  • Collaborative environment
  • High ownership and autonomy
  • Strategic business engagement
  • Enterprise-scale technology initiatives
  • Cross-functional leadership

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